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Individual Variation in Functional Topography of Association Networks in Youth

Cui, Zaixu ; Li, Hongming ; Xia, Cedric H. ; Larsen, Bart ; Adebimpe, Azeez ; Baum, Graham L. ; Cieslak, Matt ; Gur, Raquel E. ; Gur, Ruben C. ; Moore, Tyler M. ; Oathes, Desmond J. ; Alexander-Bloch, Aaron F. ; Raznahan, Armin ; Roalf, David R. ; Shinohara, Russell T. ; Wolf, Daniel H. ; Davatzikos, Christos ; Bassett, Danielle S. ; Fair, Damien A. ; Fan, Yong ; Satterthwaite, Theodore D.

Neuron (Cambridge, Mass.), 2020-04, Vol.106 (2), p.340-353.e8 [Periódico revisado por pares]

United States: Elsevier Inc

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Título:
Individual Variation in Functional Topography of Association Networks in Youth
Autor: Cui, Zaixu ; Li, Hongming ; Xia, Cedric H. ; Larsen, Bart ; Adebimpe, Azeez ; Baum, Graham L. ; Cieslak, Matt ; Gur, Raquel E. ; Gur, Ruben C. ; Moore, Tyler M. ; Oathes, Desmond J. ; Alexander-Bloch, Aaron F. ; Raznahan, Armin ; Roalf, David R. ; Shinohara, Russell T. ; Wolf, Daniel H. ; Davatzikos, Christos ; Bassett, Danielle S. ; Fair, Damien A. ; Fan, Yong ; Satterthwaite, Theodore D.
Assuntos: adolescence ; Adolescent ; Age ; Aging ; Attention - physiology ; Blood flow ; Brain architecture ; Brain mapping ; Cerebral blood flow ; Cerebral cortex ; Cerebral Cortex - growth & development ; Cerebral Cortex - physiology ; Cerebrovascular Circulation ; Child ; Cognition ; cognitive control ; Cohort Studies ; Connectome ; development ; Executive Function ; Female ; Functional anatomy ; Functional magnetic resonance imaging ; functional MRI ; Functional plasticity ; Humans ; Hypotheses ; Individuality ; Learning algorithms ; Machine Learning ; Magnetic Resonance Imaging ; Male ; MRI ; Myelin Sheath - physiology ; Myelination ; Nerve Net - anatomy & histology ; Nerve Net - growth & development ; network ; parcellation ; Spatial distribution ; Teenagers ; Topography ; Young Adult
É parte de: Neuron (Cambridge, Mass.), 2020-04, Vol.106 (2), p.340-353.e8
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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AUTHOR CONTRIBUTIONS
T.D.S. and Z.C. designed the study; Z.C. and T.D.S. performed the analyses with support from H.L., B.L., A.A., G.L.B., M.C.; H.L. and Y.F. provided parcellation tools; H.L. replicated the analyses; Z.C., C.H.X. and T.D.S. made figures; A.A., M.C., T.M.M, D.R.R and T.D.S. completed data preprocessing; R.E.G, R.C.G, C.D. and T.D.S. provided resources; D.S.B., A.A-B., A.R., D.J.O., R.T.S., D.H.W., C.D., D.A.F. and Y.F. provided comments on analysis; Z.C. and T.D.S. wrote the manuscript, with review and editing from all other authors.
Descrição: The spatial distribution of large-scale functional networks on the cerebral cortex differs between individuals and is particularly variable in association networks that are responsible for higher-order cognition. However, it remains unknown how this functional topography evolves in development and supports cognition. Capitalizing on advances in machine learning and a large sample imaged with 27 min of high-quality functional MRI (fMRI) data (n = 693, ages 8–23 years), we delineate how functional topography evolves during youth. We found that the functional topography of association networks is refined with age, allowing accurate prediction of unseen individuals’ brain maturity. The cortical representation of association networks predicts individual differences in executive function. Finally, variability of functional topography is associated with fundamental properties of brain organization, including evolutionary expansion, cortical myelination, and cerebral blood flow. Our results emphasize the importance of considering the plasticity and diversity of functional neuroanatomy during development and suggest advances in personalized therapeutics. •Functional topography is most variable in association cortex in youth•Functional topography is refined during youth and encodes brain maturity•Association network functional topography predicts executive function Cui et al. demonstrate that individual-specific functional networks are refined during youth in humans. Furthermore, the functional topography of association networks predicts individual differences in executive function.
Editor: United States: Elsevier Inc
Idioma: Inglês

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Individual Variation in Functional Topography of Association Networks in Youth

United States: Elsevier Inc

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